Publicação
A Walkability Simulator using a BI approach: a Lisbon Case Study
| Resumo: | Urban pedestrian environment quality improvement is one of the city planners’ main focuses in achieving sustainable city planning. Further, physical activities (PA) such as walking may provide advantages to health, social and environmental aspects. Considering the factors aforementioned, this project explores the idea of walkability. This concept measures if an urban environment is favorable to pedestrians. Based on a solid framework for the walkability evaluation previously developed using a multi-criteria decision analysis approach (MCDA), this project proposes implementing a business intelligence (BI) solution using Power BI. According to the selected evaluation process and the 5Cs layout, which defends that a walkable environment has to be Connected, Convenient, Comfortable, Convivial, and Conspicuous, the nineteen most suitable criteria encompassing route condition, route safety, and route characteristics were defined. A conceptual model was created first, consisting of three main steps: overall requirements identification, data model architecture proposal, and dashboard proposal. An intensive data collection will be performed from multiple data sources, and several transformations will be done to prepare the data collected for further uses. In this project, three parishes are selected, namely Marvila, Beato, and Parque das Nações. Finally, a data visualization platform and a walkability simulator will be developed. The main idea is to give a clear view of each environment’s walkability level, improve the decision-making process, and provide accurate results in a fast and efficient manner. Analyze the cost-efficiency and effectiveness of an action that intends to improve the walkability of a particular street/ Area and help the city planners to build a more pedestrian-friendly environment. |
|---|---|
| Autores principais: | Fangxiao, Liu |
| Assunto: | Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868983089261182976 |
|---|---|
| author | Fangxiao, Liu |
| author_facet | Fangxiao, Liu |
| author_role | author |
| contributor_name_str_mv | Neto, Miguel de Castro Simões Ferreira Oliveira, Miguel André Fouto Pinho de RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Fangxiao, Liu\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Neto, Miguel de Castro Simões Ferreira Oliveira, Miguel André Fouto Pinho de RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Fangxiao, Liu |
| datacite.date.Accepted.fl_str_mv | 2022-07-12T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-07-26T09:19:22Z |
| datacite.date.embargoed.fl_str_mv | 2022-07-26T09:19:22Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| datacite.titles.title.fl_str_mv | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| dc.contributor.none.fl_str_mv | Neto, Miguel de Castro Simões Ferreira Oliveira, Miguel André Fouto Pinho de RUN |
| dc.creator.none.fl_str_mv | Fangxiao, Liu |
| dc.date.Accepted.fl_str_mv | 2022-07-12T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-07-26T09:19:22Z |
| dc.date.embargoed.fl_str_mv | 2022-07-26T09:19:22Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/142398 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| dc.title.fl_str_mv | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | Urban pedestrian environment quality improvement is one of the city planners’ main focuses in achieving sustainable city planning. Further, physical activities (PA) such as walking may provide advantages to health, social and environmental aspects. Considering the factors aforementioned, this project explores the idea of walkability. This concept measures if an urban environment is favorable to pedestrians. Based on a solid framework for the walkability evaluation previously developed using a multi-criteria decision analysis approach (MCDA), this project proposes implementing a business intelligence (BI) solution using Power BI. According to the selected evaluation process and the 5Cs layout, which defends that a walkable environment has to be Connected, Convenient, Comfortable, Convivial, and Conspicuous, the nineteen most suitable criteria encompassing route condition, route safety, and route characteristics were defined. A conceptual model was created first, consisting of three main steps: overall requirements identification, data model architecture proposal, and dashboard proposal. An intensive data collection will be performed from multiple data sources, and several transformations will be done to prepare the data collected for further uses. In this project, three parishes are selected, namely Marvila, Beato, and Parque das Nações. Finally, a data visualization platform and a walkability simulator will be developed. The main idea is to give a clear view of each environment’s walkability level, improve the decision-making process, and provide accurate results in a fast and efficient manner. Analyze the cost-efficiency and effectiveness of an action that intends to improve the walkability of a particular street/ Area and help the city planners to build a more pedestrian-friendly environment. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/69ac2457-0fd2-4d7b-b78b-3a941957f98a/download |
| id | run_e13a7e8f178bf0a7bbf0054d76a2dcb2 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/142398 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/142398 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Fangxiao, Liu |
| publishDate | 2022 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
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| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTUrban pedestrian environment quality improvement is one of the city planners’ main focuses in achieving sustainable city planning. Further, physical activities (PA) such as walking may provide advantages to health, social and environmental aspects. Considering the factors aforementioned, this project explores the idea of walkability. This concept measures if an urban environment is favorable to pedestrians. Based on a solid framework for the walkability evaluation previously developed using a multi-criteria decision analysis approach (MCDA), this project proposes implementing a business intelligence (BI) solution using Power BI. According to the selected evaluation process and the 5Cs layout, which defends that a walkable environment has to be Connected, Convenient, Comfortable, Convivial, and Conspicuous, the nineteen most suitable criteria encompassing route condition, route safety, and route characteristics were defined. A conceptual model was created first, consisting of three main steps: overall requirements identification, data model architecture proposal, and dashboard proposal. An intensive data collection will be performed from multiple data sources, and several transformations will be done to prepare the data collected for further uses. In this project, three parishes are selected, namely Marvila, Beato, and Parque das Nações. Finally, a data visualization platform and a walkability simulator will be developed. The main idea is to give a clear view of each environment’s walkability level, improve the decision-making process, and provide accurate results in a fast and efficient manner. Analyze the cost-efficiency and effectiveness of an action that intends to improve the walkability of a particular street/ Area and help the city planners to build a more pedestrian-friendly environment.application/pdfpt_PTA Walkability Simulator using a BI approach: a Lisbon Case StudyFangxiao, LiuNeto, Miguel de Castro Simões FerreiraOliveira, Miguel André Fouto Pinho deHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2030422712022-07-26T09:19:22Z2022-07-122022-07-12T00:00:00ZHandlehttp://hdl.handle.net/10362/142398http://purl.org/coar/access_right/c_abf2open accessWalkabilityCity planningBusiness intelligenceData visualizationMicro-mobilitySimulation2657717 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2022-07-12http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/69ac2457-0fd2-4d7b-b78b-3a941957f98a/download |
| spellingShingle | A Walkability Simulator using a BI approach: a Lisbon Case Study Fangxiao, Liu Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| status | SINGLETON |
| subject.fl_str_mv | Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| title | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| title_full | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| title_fullStr | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| title_full_unstemmed | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| title_short | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| title_sort | A Walkability Simulator using a BI approach: a Lisbon Case Study |
| topic | Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| topic_facet | Walkability City planning Business intelligence Data visualization Micro-mobility Simulation |
| url | http://hdl.handle.net/10362/142398 |
| visible | 1 |